Jalapa
City in Tabasco, Mexico
Overview
Jalapa, Tabasco, is a small, charming town set amid lush vegetation and rolling hills, reflecting authentic rural life in southern Mexico. Its relaxed pace, friendly locals, and proximity to nature make it perfect for travelers seeking a low-key, cultural escape.
Geographic Context
Jurisdiction
Mexico
State
Tabasco
Population
5,001
Time Zone
America/Mexico_City
Coordinates
17.72°, -92.81°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
55
Monthly Cost · estimate
$600
Local Cost
$340
Local Income
$280
Cashless
30
English
15
Temperature
23.9°C
Summer Avg
25.8°C
Winter Avg
20.7°C
Record High
41.2°C
Record Low
9.0°C
Humidity
84%
Precipitation
2383 mm
Internet Speed
74 Mbps
Upload
44 Mbps
Latency
35 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
VSA
Distance
30 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.